Sr. Data Developer

Raise; Oshawa; On-site; CAD 110,000 - 140,000; Full time

Job summary

Raise is seeking a Sr. Data Developer to lead the development and architecture of data pipelines, models, and automation across data sources.

You will work in agile teams with business and technology partners to deliver a governed, reliable data infrastructure. Responsibilities include designing ELT/ETL pipelines, data modeling for BI, security and quality checks, performance tuning, CI/CD, and cross-functional collaboration.

Qualifications

• Bachelor's level education in CS/SE or related discipline.
• Strong fluency in SQL, Python, Spark, and Azure.
• Proven experience in data development and data pipeline architecture.

Responsibilities

• Design and develop scalable ELT/ETL pipelines using cloud-native tools.
• Implement dimensional data models and integrate diverse data sources for BI/reporting.
• Apply data security best practices and conduct quality checks across pipelines.
• Tune queries and jobs for performance and reliability.
• Build CI/CD pipelines, reusable modules, and automation scripts.
• Collaborate with analysts and architects to deliver cohesive data solutions.
• Maintain documentation and enterprise metadata/catalog tools.
• Lead user story delivery and participate in sprint planning.
• Provide Tier 2 support and monitor pipeline health.
• Identify and implement improvements to enhance scalability and user satisfaction.

Skills

SQL

Python

Spark

Azure services

Education

Four-year university degree in Computer Science or Software Engineering

Job description

We are currently requesting resumes for the following position:Sr. Data Developer

Resume Due Date:Thursday, September 17th, 2026 (5:00PM EST)

Number of Vacancies: 1

Level:MP4

Duration: 36 months

Hours of work:35

Location:CHQ

Job Overview

The role leads the development and architecture of data pipelines, models, and automation across data sources. It works in agile teams and collaborates across business and technology partners to deliver resilient, reliable, and governed data infrastructure.

Job Duties

• Pipeline Development: Design and develop scalable ELT/ETL pipelines using cloud-native tools.
• Data Modeling: Implement dimensional models and integrate data sources for BI/reporting.
• Security & Quality: Apply data security best practices and quality checks across the pipeline.
• Performance Optimization: Tune queries and jobs for speed and reliability.
• Tooling and Automation: Build CI/CD pipelines, reusable modules, and automation scripts.
• Cross-Functional Collaboration: Work with analysts, architects, and other developers to deliver cohesive data solutions.
• Documentation and Metadata: Maintain documentation and contribute to enterprise metadata/catalog tools.
• Agile Execution: Lead user story delivery and actively participate in sprint planning and retrospectives.
• Support and Monitoring: Provide Tier 2 support and monitor pipeline health proactively.
• Innovation and Improvement: Identify and implement enhancements to improve system scalability and user satisfaction.

Qualifications

• Role requires knowledge to design, develop, and optimize data solutions using SQL, Python, Spark, and Azure services.
• Successful completion of a four-year university education in Computer Science, Software Engineering, or another related discipline.
• 6-8 years of experience in data development with strong fluency in SQL, Python, Spark, and Azure services is required.

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. They are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports their long-term strategy for equity, diversity, and inclusion.